hrayrhar / limit-label-memorization
Improving generalization by controlling label-noise information in neural network weights.
☆40Updated 4 years ago
Alternatives and similar repositories for limit-label-memorization:
Users that are interested in limit-label-memorization are comparing it to the libraries listed below
- Code for SelfAugment☆27Updated 4 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆18Updated 2 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- ☆42Updated 4 years ago
- ☆19Updated 5 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 4 years ago
- Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.☆28Updated 2 years ago
- ☆34Updated 6 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆60Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- ☆14Updated 5 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 3 years ago
- ☆45Updated 3 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 5 years ago
- Evaluation of semi-supervised learning on challenging datasets☆36Updated 3 years ago
- MoPro: Webly Supervised Learning☆87Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Regularizing Meta-Learning via Gradient Dropout☆52Updated 4 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated last year
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆18Updated 5 years ago
- ☆57Updated 3 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago